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Effects of uncertainty on a tire closed-loop supply chain network

Amin, Saman Hassanzadeh; Zhang, Guoqing; Akhtar, Pervaiz


Saman Hassanzadeh Amin

Guoqing Zhang

Pervaiz Akhtar


In a closed-loop supply chain (CLSC) network, there are both forward and reverse supply chains. In this research, a tire remanufacturing CLSC network is designed and optimized based on tire recovery options. The objective of the optimization model is to maximize the total profit. The optimization model includes multiple products, suppliers, plants, retailers, demand markets, and drop-off depots. The application of the model is discussed based on a realistic network in Toronto, Canada using map. In addition, a new decision tree-based methodology is provided to calculate the net present value of the problem in multiple periods under different sources of uncertainty such as demand and returns. Furthermore, the discount cash flow is considered in the methodology as a novel innovative approach. This methodology can be applied in comparing the profitability of different design options for CLSCs.


Amin, S. H., Zhang, G., & Akhtar, P. (2017). Effects of uncertainty on a tire closed-loop supply chain network. Expert Systems with Applications, 73, 82-91.

Acceptance Date Dec 19, 2016
Online Publication Date Dec 19, 2016
Publication Date May 1, 2017
Deposit Date Jan 26, 2017
Publicly Available Date Dec 20, 2017
Journal Expert systems with applications
Print ISSN 0957-4174
Electronic ISSN 0957-4174
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 73
Pages 82-91
Keywords Closed-loop supply chain (CLSC); Reverse logistics (RL); Tyre remanufacturing; Uncertainty; Decision tree; Cash flow analysis
Public URL
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Additional Information This article is maintained by: Elsevier; Article Title: Effects of uncertainty on a tire closed-loop supply chain network; Journal Title: Expert Systems with Applications; CrossRef DOI link to publisher maintained version:; Content Type: article; Copyright: © 2016 Elsevier Ltd. All rights reserved.


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Copyright Statement
©2017, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license

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